diff --git a/pytorch_lightning/loggers/base.py b/pytorch_lightning/loggers/base.py
index fc40db4e69..a27998366b 100644
--- a/pytorch_lightning/loggers/base.py
+++ b/pytorch_lightning/loggers/base.py
@@ -409,6 +409,11 @@ class DummyExperiment(object):
     def __getattr__(self, _):
         return self.nop
 
+    def __getitem__(self, idx):
+        # enables self.logger[0].experiment.add_image
+        # and self.logger.experiment[0].add_image(...)
+        return self
+
 
 class DummyLogger(LightningLoggerBase):
     """ Dummy logger for internal use. Is usefull if we want to disable users
@@ -437,6 +442,9 @@ class DummyLogger(LightningLoggerBase):
     def version(self):
         pass
 
+    def __getitem__(self, idx):
+        return self
+
 
 def merge_dicts(
         dicts: Sequence[Mapping],
diff --git a/tests/loggers/test_base.py b/tests/loggers/test_base.py
index 4b270927a4..3d89c8cd85 100644
--- a/tests/loggers/test_base.py
+++ b/tests/loggers/test_base.py
@@ -20,6 +20,7 @@ import numpy as np
 
 from pytorch_lightning import Trainer
 from pytorch_lightning.loggers import LightningLoggerBase, LoggerCollection
+from pytorch_lightning.loggers.base import DummyLogger, DummyExperiment
 from pytorch_lightning.utilities import rank_zero_only
 from tests.base import EvalModelTemplate
 
@@ -215,6 +216,16 @@ def test_with_accumulate_grad_batches():
     assert logger.history == {0: {'loss': 0.5623850983416314}, 1: {'loss': 0.4778883735637184}}
 
 
+def test_dummyexperiment_support_indexing():
+    experiment = DummyExperiment()
+    assert experiment[0] == experiment
+
+
+def test_dummylogger_support_indexing():
+    logger = DummyLogger()
+    assert logger[0] == logger
+
+
 def test_np_sanitization():
     class CustomParamsLogger(CustomLogger):
         def __init__(self):